| 引用本文：陈丕楠, 谢诗桐, 贺小宁, 杨智豪, 吴晶.EQ-HWB量表健康状态分级系统构建述评与经验启示[J].中国卫生政策研究,2022,15(12):67-74 |
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| EQ-HWB量表健康状态分级系统构建述评与经验启示 |
| 投稿时间：2022-07-19 修订日期：2022-09-15 PDF全文浏览 HTML全文浏览 |
| 陈丕楠1,2, 谢诗桐1,2, 贺小宁1,2, 杨智豪3, 吴晶1,2 |
1. 天津大学药物科学与技术学院 天津 300072;
2. 天津大学社会科学调查与数据中心 天津 300072;
3. 贵州医科大学医药卫生管理学院 贵州贵阳 550025 |
| 摘要:目的：述评健康与幸福感量表(EuroQoL Health and Wellbeing，EQ-HWB)健康状态分级系统的构建过程，为国内学者了解国际新量表、积累量表研发经验提供参考。方法：从PubMed、Embase、知网和万方数据库中检索并纳入所有与EQ-HWB量表研发相关的文献，从中梳理并总结量表健康状态分级系统构建的步骤方法和经验启示。结果：研究共纳入11篇文献，均为英文文献。EQ-HWB量表的健康状态分级系统通过识别量表维度、组成备选条目池、基于表面效度筛选条目、基于心理测量学筛选条目四个步骤完成构建。其研发经验启发未来研发者应基于广泛来源与透明过程开展维度识别，重点关注条目的可读性、一致性和合理性，且在设定量表心理测量学验证的亚组样本和分析指标时多加考虑。结论：通过纳入丰富维度，EQ-HWB量表能够广泛测量健康相关生命质量、幸福感、社会护理相关生命质量和护理者相关生命质量。但其测量性能与应用场景，特别是在中国人群中的表现仍待进一步探索与研究。 |
| 关键词:EQ-HWB量表 E-QALY项目 健康状态分级系统构建 |
| 基金项目:国家自然科学基金(72174142)；国家自然科学基金(71673197) |
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| Review and experience-based inspiration of the construction of the classification system of EuroQoL Health and Wellbeing (EQ-HWB) |
| CHEN Pi-nan1,2, XIE Shi-tong1,2, HE Xiao-ning1,2, YANG Zhi-hao3, WU Jing1,2 |
1. School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China;
2. Center for Social Survey and Data, Tianjin University, Tianjin 300072, China;
3. School of Medicine and Health Management, Guizhou Medical University, Guiyang Guizhou 550025, China |
| Abstract:Objective: To review the construction process of the classification system of EuroQoL Health and Wellbeing (EQ-HWB) so as to provide a reference for domestic scholars for studying new international measure and accumulating experience in measure development. Methods: Databases including PubMed, Embase, CNKI and Wanfang were searched to acquire all articles related to the research and development of EQ-HWB. Then the step-by-step methods and experience-based inspirations of the construction of EQ-HWB were sorted out and summarized. Results: A total of 11 articles were included, all English-written. The classification system of EQ-HWB was constructed through four steps: identifying dimensions, generating candidate item pool, screening items based on face validation, and screening items based on psychometrics. The experience in its research and development inspires future developers to identify dimensions based on a wide range of sources and transparent processes, to focus on the readability, consistency and rationality of the items, and to be cautious when setting the subgroup samples and analysis indicators for psychometric validation. Conclusion: By incorporating rich dimensions, EQ-HWB is able to broadly measure health-related quality of life, well-being, social care-related quality of life and caregiver-related quality of life. However, its measurement performance and applicable scenarios, especially in Chinese population, still need further exploration and research. |
| Key words:EQ-HWB E-QALY project Construction of classification system |
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